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Environmentally extended multi-regional input-output (EE-MRIO) models provide us with a wealth of data relating to consumption-based environmental impacts at a national level. The results can identify the categories of consumption and sectors of production that contribute most to environmental impact allowing policy makers to prioritise intervention into particular areas. However, these data are not readily accessible to policy makers and civil society, making it difficult to extract and communicate the important messages it contains. The web-based tool - EUREAPA - was created as a usable, task-oriented interface to improve access to environmental and economic data held within a complex EE-MRIO model and make it more relevant to policy makers and civil society. The project team of scientists and IT specialists used an iterative, agile and participatory approach to engage potential end-users in the specification and testing of the tool. The engagement process identified two principal functions that were essential for the EUREAPA tool: viewing data and creating scenarios. The viewing data function allows users to analyse the wealth of data held within the model and present results from a range of perspectives. This helps to understand the causes of environmental pressure and identify priorities for policy intervention. The scenario function helps to communicate how changes in consumption and production might affect the future environmental impact of citizens of the EU, and facilitates long-term planning. Through this dialogue process the project has been able to ensure EUREAPA is relevant, user-friendly and fit-for-purpose. It is intended that EUREAPA will be adopted by policy makers and civil society as an important policy planning and assessment aid in the complex field of sustainable consumption and production., (© 2013 Elsevier B.V. All rights reserved.)

Existing international emissions reduction policies are not sufficient to meet the internationally agreed objective of limiting average global temperature rise to ‘well below’ two degrees, resulting in an emissions gap. Materials - such as aluminium, cement, paper, plastics and steel - act as a carrier of industrial energy that allows, through trade, the transfer of embodied emissions between sectors and countries. However, the use of materials has been overshadowed by policies focusing on energy efficiency improvements and deployment of a low carbon energy supply. This article argues that policies based on material and product demand can support domestic climate change mitigation and reduce the emissions gap, yet there is little obvious integration between climate and material efficiency policies. The article investigates current ‘emissions flows’ through the EU economy and how much of these are captured and excluded from existing EU climate policies. We analyse the potential increase in emissions coverage that would be achieved by extending EU directives that currently target the energy use of products (cars, buildings and appliances) in operation, to include the emissions required to produce the goods (i.e. embodied emissions). The analysis shows that a greater integration of material efficiency strategies within climate change mitigation policy could significantly increase the emissions coverage of existing product policies. Key policy insights Consumption is a key driver of emissions and demand reduction is an important policy option in reducing emissions, at least in the short-term, to reduce the risks of a longer-term reliance on technology breakthroughs and while the EU carbon price remains low. Emissions embodied in material-intensive manufactured products consumed in the EU represent the equivalent of over 40% of EU production emissions, offering significant scope for emissions reductions along product supply chains. Consumption measures that target the use of materials and products offer complementary mitigation options to low carbon energy supply technologies alongside costs savings. Existing EU policies addressing the energy efficiency of products can be used to scale up material efficiency measures. [ABSTRACT FROM AUTHOR]